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Increasing Graph Literacy and Interpretation for Image Processing
Juho Siuko, Elizabeth Cloude and Kristian Kiili
Tampere University, Kalevantie 4, 33100 Tampere Finland
Abstract: Understanding graphs is a crucial part of deep reading. It appears that a lot of students might require assistance in deciphering graphs that are misleading. Using educational games could offer opportunities to boost students’ interest in understanding graphs and aid in developing skills needed for critical graph analysis. To explore this idea, we looked into how effective a digital game was in teaching the skill of reading misleading graphs. In this research, 101 high school students were randomly divided into two groups: one group played a graph reading game from MediaWatch for 30 minutes, while the other group did not receive any graph reading instruction. We measured graph literacy before and after the study and only looked at how curious students were about graphs during the game. The results showed that students who played the game improved their ability to read misleading graphs more than those in the control group. However, there was no significant change in students’ curiosity about graphs after playing the MediaWatch game. These findings suggest that educational games can help students develop skills in critically analyzing graphs.
Keywords: Game-based Learning, Graph Literacy, Critical Graph Reading, Misleading Graphs, Curiosity Increasing Graph Literacy and Interpretation for Image Processing
DOI:https://doi.org/10.6025/jmpt/2024/15/2/59-71
Full_Text   PDF 1.41 MB   Download:   5  times
References:

[1] Freedman, E. G., Shah, P. (2002). Toward a model of knowledge-based graph comprehension. In: Proceedings of the International Conference on Theory and Application of Diagrams, (pp. 18-30). Berlin, Heidelberg: Springer.

[2] Shah, P.,Freedman, E. G. (2011). Bar and line graph comprehension: An interaction of top-down and bottom-up processes. Topics in Cognitive Science, 3(3), 560-578. https://doi.org/10.1111/j.1756-8765.2009.01066.x

[3] Ludewig, U., Lambert, K., Dackermann, T., Scheiter, K., Möller, K. (2020). Influences of basic numerical abilities on graph reading performance. Psychological Research, 84, 1198-1210. https://doi.org/10.1007/s00426-019-01144-y

[4] Okan, Y., Garcia-Retamero, R., Cokely, E. T., Maldonado, A. (2012). Individual differences in graph literacy: Overcoming denominator neglect in risk comprehension. Journal of Behavioral Decision Making, 25(4), 390-401. https://doi.org/10.1002/bdm.751

[5] Ramly, C., Sen, A., Kale, V., Rau, M. A., Zhu, J. (2021). Digitally training graph viewers against misleading bar charts. In: Proceedings of the Annual Meeting of the Cognitive Science Society.

[6] Okan, Y., Galesic, M., Garcia-Retamero, R. (2016). How people with low and high graph literacy process health graphs: Evidence from eye-tracking. Journal of Behavioral Decision Making, 29(2-3), 271-294. https://doi.org/10.1002/bdm.1891

[7] Engledowl, C., Weiland, T. (2021). Data (mis)representation and COVID-19: Leveraging misleading data visualizations for developing statistical literacy across grades 6–16. Journal of Statistics and Data Science Education, 29(2), 160-164. https://doi.org/10.1080/26939169.2021.1915215

[8] Kwon, O. N., Han, C., Lee, C., Lee, K., Kim, K., Jo, G., Yoon, G. (2021). Graphs in the COVID-19 news: A mathematics audit of newspapers in Korea. Educational Studies in Mathematics. https://doi.org/10.1007/s10649-021-10048-5

[9] Cairo, A. (2019). How Charts Lie: Getting Smarter About Visual Information. New York, NY: W.W. Norton & Company.

[10] Ecker, U. K., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Colunga, E. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1), 13-29. https://doi.org/10.1038/s44159-021-00006-5

[11] Van der Linden, S., Roozenbeek, J., Maertens, R., Basol, M., Kácha, O., Rathje, S., Traberg, C. S. (2021). How can psychological science help counter the spread of fake news?, Spanish Journal of Psychology, 24, e25. https://doi.org/10.1017/SJP.2021.23

[12] Van Der Linden, S. (2022). Misinformation: Susceptibility, spread, and interventions to immunize the public. Nature Medicine, 28(3), 460-467. https://doi.org/10.1038/s41591-022-01713-6

[13] Traberg, C. S., Roozenbeek, J., Van der Linden, S. (2022). Psychological inoculation against misinformation: Current evidence and future directions. The ANNALS of the American Academy of Political and Social Science, 700(1), 136-151. https://doi.org/10.1177/0002716222108793

[14] Compton, J., Van der Linden, S., Cook, J., Basol, M. (2021). Inoculation theory in the post-truth era: Extant findings and new frontiers for contested science, misinformation, and conspiracy theories. Social and Personality Psychology Compass, 15(6), e12602. https://doi.org/10.1111/spc3.12602

[15] Banas, J. A., Rains, S. A. (2010). A meta-analysis of research on inoculation theory. Communication Monographs, 77(3), 281-311. https://doi.org/10.1080/03637751003758193.

[16] Roozenbeek, J., Van der Linden, S. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communications, 5(1), 1-10. https://doi.org/10.1057/s41599-019-0279-9

[17] Trevors, G., Ladhani, F. (2022). It’s contagious! Examining gamified refutation texts, emo

tions, and knowledge retention in a real-world public health education campaign. Discourse Processes, 59(5-6), 401-416. https://doi.org/10.1080/0163853X.2022.2085477

[18] Basol, M., Roozenbeek, J., Van der Linden, S. (2020). Good news about bad news: Gamified inoculation boosts confidence and cognitive immunity against fake news. Journal of Cognition, 3(1). https://doi.org/10.5334/joc.91

[19] Plass, J. L., Mayer, R. E., Homer, B. D. (Eds.). (2020). Handbook of Game-Based Learning. Cambridge, MA: MIT Press.

[20] Lei, H., Chiu, M. M., Wang, D., Wang, C., Xie, T. (2022). Effects of game-based learning on students’ achievement in science: A meta-analysis. Journal of Educational Computing Research, 60(6), 1373-1398. https://doi.org/10.1177/07356331211064543

[21] Kiili, K., Siuko, J., Ninaus, M. (2024). Tackling misinformation with games: A systematic literature review. Interactive Learning Environments. https://doi.org/10.1080/104948 20.2023.2299999

[22] Rodrigo, M. M. T., Baker, R. S. J. d. (2011). Comparing the incidence and persistence of learners’ affect during interactions with different educational software packages. In R. A. Calvo & S. K. D’Mello (Eds.), New Perspectives on Affect and Learning Technologies, (pp. 183-200). New York, NY: Springer. 

[23] Bråten, I., Braasch, J. L. G. (2017). Key issues in research on students’ critical reading and learning in the 21st century information society. In C. Ng & B. Bartlett (Eds.), Improving Reading and Reading Engagement in the 21st Century, (pp. 77-98). Singapore: Springer. https://doi.org/10.1007/978-981-10-4331-4_4

[24] Roozenbeek, J., Van der Linden, S. (2020). Breaking Harmony Square: A game that ‘inoculates’ against political misinformation. The Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-48

[25] Huang, W., Hong, S. H., Eades, P. (2006). Predicting graph reading performance: A cognitive approach. In: Proceedings of the ACM International Conference Proceeding Series, 164, 207-216. https://doi.org/10.1145/1150000/1149998

[26] Wouters, P., Van Nimwegen, C., Van Oostendorp, H., Van Der Spek, E. D. (2013). A meta-analysis of the cognitive and motivational effects of serious games. *Journal of Educational Psychology*, 105(2), 249-265. https://doi.org/10.1037/a0031311

[27] Huck, J. T., Day, E. A., Lin, L., Jorgensen, A. G., Westlin, J., Hardy, J. H. (2020). The role of epistemic curiosity in game-based learning: Distinguishing skill acquisition from adaptation. Simulation & Gaming, 51(2), 141-166. https://doi.org/10.1177/1046878119895557

[28] Litman, J. (2005). Curiosity and the pleasures of learning: Wanting and liking new information. Cognition and Emotion, 19(6), 793-814. https://doi.org/10.1080/02699930541000101

[30] Nakamura, S., Reinders, H., Darasawang, P. (2022). A classroom-based study on the antecedents of epistemic curiosity in L2 learning. Journal of Psycholinguistic Research, 51(2), 293-308. https://doi.org/10.1007/s10936-021-09781-8

[31] Okan, Y., Garcia-Retamero, R., Galesic, M., Cokely, E. T. (2012). When higher bars are not larger quantities: On individual differences in the use of spatial information in graph comprehension. Spatial Cognition & Computation, 12(2-3), 195-218. https://doi.org/10.1080/13875868.2012.659302

[32] Okan, Y., Janssen, E., Galesic, M., Waters, E. A. (2019). Using the Short Graph Literacy Scale to predict precursors of health behavior change. Medical Decision Making, 39(3), 183-195. https://doi.org/10.1177/0272989X19829728

[33] Schmidt, H. G., Rotgans, J. I. (2021). Epistemic curiosity and situational interest: Distant cousins or identical twins? Educational Psychology Review, 33, 325-352. https://doi.org/10.1007/s10648-020-09544-z

[34] Marx, J. D., Cummings, K. (2007). Normalized change. American Journal of Physics, 75(1), 87-91. https://doi.org/10.1119/1.2372468

[35] R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Retrieved from https://www.R-project.org

[36] Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686

[37] Annetta, L. A., Minogue, J., Holmes, S. Y., Cheng, M. T. (2009). Investigating the impact of video games on high school students’ engagement and learning about genetics. *Computers & Education*, 53(1), 74-85. https://doi.org/10.1016/j.compedu.2008.12.020

[38] Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers & Education, 59(2), 661-686. https://doi.org/10.1016/j.compedu.2012.03.004

[39] Di Leo, I., Muis, K. R., Singh, C. A., Psaradellis, C. (2019). Curiosity… Confusion? Frustration! The role and sequencing of emotions during mathematics problem solving. Contemporary Educational Psychology, 58, 121-137. https://doi.org/10.1016/j.cedpsych.2019.03.001.


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